Statistical Descriptions of Inhomogeneous Anisotropic Turbulence

J. J. H. Brouwers ()
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J. J. H. Brouwers: Romico Hold A.V.V., 6226 GV Maastricht, The Netherlands

Mathematics, 2022, vol. 10, issue 23, 1-18

Abstract: Descriptions are given of the Langevin and diffusion equation of passively marked fluid particles in turbulent flow with spatially varying and anisotropic statistical properties. The descriptions consist of the first two terms of an expansion in powers of C 0 − 1 , where C 0 is an autonomous Lagrangian-based Kolmogorov constant: C 0 ≈ 7 . Solutions involve the application of methods of stochastic analysis while complying with the basic laws of physics. The Lagrangian-based descriptions are converted into Eulerian-based fixed-point expressions through asymptotic matching. This leads to novel descriptions for the mean values of the fluctuating convective terms of the conservation laws of continua. They can be directly implemented in CFD codes for calculating fluid flows in engineering and environmental analysis. The solutions are verified in detail through comparison with direct numerical simulations of turbulent channel flows at large Reynolds numbers.

Keywords: statistical turbulence; Langevin and diffusion equation; nonlinear convection statistics (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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